activity
20162022
most citedGeo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction

81 citations · 202 across the 15 of their papers we have counts for

collaborators

20 papers

cs.CV20222 cited

Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation

En Yu, Songtao Liu, Zhuoling Li +4

Although existing multi-object tracking (MOT) algorithms have obtained competitive performance on various benchmarks, almost all of them train and validate models on the same domai…

cs.CV202281 cited

Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction

Qiancheng Fu, Qingshan Xu, Yew-Soon Ong +1

Recently, neural implicit surfaces learning by volume rendering has become popular for multi-view reconstruction. However, one key challenge remains: existing approaches lack expli…

cs.CV202210 cited

SC^2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration

Zhi Chen, Kun Sun, Fan Yang +1

In this paper, we present a second order spatial compatibility (SC^2) measure based method for efficient and robust point cloud registration (PCR), called SC^2-PCR. Firstly, we pro…

cs.CV20215 cited

Non-local Recurrent Regularization Networks for Multi-view Stereo

Qingshan Xu, Martin R. Oswald, Wenbing Tao +2

In deep multi-view stereo networks, cost regularization is crucial to achieve accurate depth estimation. Since 3D cost volume filtering is usually memory-consuming, recurrent 2D co…

cs.CV2021

LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation

Lin Zhao, Hui Zhou, Xinge Zhu +3

Camera and 3D LiDAR sensors have become indispensable devices in modern autonomous driving vehicles, where the camera provides the fine-grained texture, color information in 2D spa…

cs.CV2021

Cascade Network with Guided Loss and Hybrid Attention for Finding Good Correspondences

Zhi Chen, Fan Yang, Wenbing Tao

Finding good correspondences is a critical prerequisite in many feature based tasks. Given a putative correspondence set of an image pair, we propose a neural network which finds c…